Browse Topic: Drilling

Items (601)
This device belongs to the field of aviation materials technology and discloses a high-efficiency drilling equipment for manufacturing aviation materials, which includes a bottom plate. The top of the bottom plate is provided with a clamping structure and a positioning structure. The clamping structure includes a second moving plate, a third sliding groove, a second bi-directional screw, a fourth screw block, a clamping plate, and a rubber block. This device can hold materials through a clamping structure and effectively and quickly locate and drill holes through a positioning structure. By rotating the first threaded rod, it can drive the first screw block to move the U-shaped column. During the movement of the U-shaped column, it will drive the second threaded rod to move together. By rotating the second threaded rod, it will drive the second screw block to adjust the height of the connecting plate for drilling holes. By rotating the third threaded rod, it will drive the first moving plate to move, which will facilitate the multi-directional movement of the drill bit, improve the efficiency of drilling, avoid multiple position changes, and be beneficial for practical applications and operations.
Li, ZuxianLi, Ling
Drill string whirl and buckling cause impact-rub contact against the casing inner wall, which induces casing wear and threatens wellbore integrity. This study incorporates both whirl and buckling to analyze the wear mechanism. Finite-element dynamic models are established for three drill string states: stable unbuckled, sinusoidally buckled, and helically buckled. Transient dynamic simulations are performed in the ANSYS Workbench Transient Structural module to obtain whirl trajectories, contact pressures, and contact characteristics at multiple sections along the string. A casing-wear volume calculation based on the Kumar–Samuel formulation with time-varying contact pressure is then used to quantify wear at the lower drill collar, the upper stabilizer, the upper drill collar, the heavyweight drill string, and the buckled segment. Results show that once buckling occurs, whirl concentrates in the bottom-hole assembly and decays progressively from the bottom of the well toward the wellhead. Casing wear increases across all locations, with the largest increments at the lower drill-collar interval and within the buckled segment. Helical buckling produces greater casing wear than sinusoidal buckling. Neglecting drill string buckling, especially helical buckling, leads to underestimation of casing wear and thus underestimation of wellbore-integrity risk.
Liu, JunlinCao, GenpeiWan, ZhiguoYang, ZhengLi, LongDou, YihuaGu, Runpeng
Worldwide, engineers are exploring the possibility of using polymer composites in their quest for lightweight materials. In this study, injection moulding was used to develop a biodegradable polymer PLA composite containing 20 wt.% vetiver fibers (VFs) and 2 wt.% nano-silica (nSiO2) obtained from pearl millet, which is sustainable. Materials need machining as secondary operation that required joining. Desirability analysis was used to examine and optimize machining (drilling) studies that were designed with Taguchi's design (L9 orthogonal array). Surface roughness (SR) and delamination factor (Fd) were taken as outputs, while spindle speed (SS), feed rate (FR), and drill diameter (DD) were the inputs. Drilling studies were performed on a single vertical machining center (VMC). ANOVA identifies that the FR had the most decisive influence on SR (F=559.24, p=0.001785), followed by DD and SS. FR is the dominant contributor to Fd (F=379, p=0.00263), followed by SS and DD. At low SS and high FR, excessive thrust and heat cause fiber-matrix tearing and poor hole finish. Higher SS softens the PLA matrix, improving surface quality. Fd decreases with increasing SS, whereas it rises with extreme FR and DD due to elevated thrust and matrix cracking. The optimized parameters SS of 3000 rpm, FR of 15 mm/min, and DD of 6 mm achieved a maximum combined desirability of 1. A non-traditional meta-heuristic technique, the frog leaping algorithm (FLA), is adopted to optimize the inputs based on the developed regression model. FLA also provides the identical optimal condition as the desirability function, predicting the outputs SR=2.2195 μm and Fd=1.0383, which are very close.
Senthilkumar, N.
In order to ensure the construction safety of tunnels in water-rich sections near reservoir areas, it is very important to adopt comprehensive and reliable advanced geological prediction technology combined with on-site monitoring and measurement. Taking the Chenlingding tunnel as an example, through the comprehensive geological prediction of the broken rock section near the reservoir, the numerical model of the broken rock section was established, and compared with the field measurement data. The results show that the comprehensive advanced geological prediction system combining short, medium and long distances, such as geological radar, seismic wave reflection method and advanced horizontal drilling, has high accuracy in adverse geology, rock fragmentation and water rich conditions in the tunnel; The rich water condition, fault information and rock engineering geology provided by the advanced geological prediction can provide reliable guarantee for the tunnel excavation scheme, the preparation of advanced support measures and the formulation of emergency plans; The deformation trend of the deformation curve of the monitoring value and the simulation value is consistent. The initial ground settlement and vault settlement of the tunnel are relatively fast, and they are basically stable after 50 days, but both are less than the deformation amount reserved in the design scheme, indicating that the construction scheme is safe and reasonable, and the control effect is good, which can provide reference for the selection of advanced geological prediction methods and the formulation of construction scheme of water-rich tunnel.
Dai, YunfeiFeng, MeijieLiu, DachengTang, Xianyuan
To address the challenges of high support deformation risk in soft rock tunnels of the Qinling Mountains and slow construction speeds in small-section tunnels due to spatial constraints, this study leverages the engineering geological characteristics of the region. These include predominantly mudstone and sandstone, well-developed joints and fissures, and moderately strong surrounding rock. Based on the Lianhua Mountain Tunnel project, the use of a cantilever roadheader in small-section tunnels with soft rock geology was introduced. Through in-depth research on adaptability and design parameters, it was demonstrated that the cantilever roadheader exhibits good adaptability in the soft rock regions of the Qinling Mountains and has significant potential for broader application. The application research results show that the cantilever roadheader causes minimal disturbance to the surrounding rock, resulting in smaller deformation. It also demonstrates a notable progress advantage in sandstone and conglomerate tunnels, particularly in Class IV and V surrounding rock, where construction speed increased by nearly 90% compared to the drilling and blasting method.
Wu, JianminHu, RuoqiZhang, TeMeng, Xianghua
Hard carbon steel is used for drilling deep holes, such as C19, which has dimensions of 630 mm in length, 50 mm in breadth, and 125 mm in depth. Long twist drills with a diameter of 8 mm are used. Such drills are manufactured with larger helix than the traditional drills for increasing penetration efficiency. But, Prediction of long drill & tool replacement strategies during metal cutting are mostly depend on conservative estimation given by manufacturer’s catalog. Hence, long drill while drilling cam shaft in automobile applications may be underutilized or over utilized. Now a day, Diagnostics software in advanced CNC machines are indicating hours of utilization of tools in bar chart. On the other hand, Utilization of long drill wear beyond the recommended range affects the quality of workpiece. As a result, several researchers have proposed the reliable approach of vibration-based online monitoring of drill flank wear over the past 20 years. In these works, the vibration sensor is mounted on the workpiece, allowing for good signal strength acquisition with little variation in distance from the drill holes and drill wear monitoring. The sensor cannot be placed in a fixed location that is equally spaced from all of the holes that need to be drilled for practically all workpiece profiles. In this project endeavour, the peck drilling technique utilising vibration monitoring is proposed. The monitoring metrics of amplitude (N/m2) and frequency (Hz) are introduced through the examination of vibration in both the time and frequency domains. Experimental results show that percentage variation in long drill wear during severe wear and corresponding vibration signals of amplitude variation of long drill frequency is increasing five times than compared the vibration signals with other stages in the peak search method. This provides greater flexibility in replacement strategy of long drill through vibration analysis and higher percentage variation indicates that substantial to use for drilling.
R. S., NakandhrakumarRaja, SelvakumarElumalai, SangeethkumarVelmurugan, RamanathanM, Ramakrishnan
The Electroimpact Automatic Fan Cowl Riveter uses two novel drill processes to control exit burr height and achieve the required hole quality in CRES (Corrosion-Resistant Steel, also called stainless steel) material stacks. Both processes use piloted cutters on the OML (Outer Mold Line, referring to the exterior surface of an airframe) side, and two different tools are used in a backside spindle on the IML (Inner Mold Line, referring to the inside surface of an airframe) side of the component. The first process uses a shallow-angle shave tool in the IML spindle to directly control the exit burr height after it is produced by the OML spindle and is called the “burr shave” technique. The second process uses a countersink tool in the IML spindle and produces an “intermediate countersink” after the pilot hole is drilled by the OML spindle, but before the final hole diameter is drilled. These drill processes were able to achieve the required hole quality in a challenging CRES material stack, which allows the machine to be qualified for one-up assembly of the component.
Schultz, RichPeterman, RandyLuker, ZacharyMurakonda, Sai KrishnaMerluzzi, James
The aspiration of this exploration is to evolve an optimization technique for the Electrochemical Drilling process on Haste alloy material, considering various performance factors. The Taguchi approach, along with Grey Relational Analysis (GRA), forms the basis for optimization. Haste alloy has a wider range of uses in industries such as aerospace, nuclear, and marine, especially in harsh environments. The experimental trials conducted in accordance with Taguchi's approach have utilized three machining variables: feed rate, electrolyte flow rate, and electrolyte concentration. When doing this examination, we analyze not only the rate at which material is removed and the roughness of the surface, but also other characteristics that indicate performance, such as overcut, shape, and orientation tolerance. The analytical findings indicate that the feed rate is the primary factor that directly impacts the required performance standards. Regression models are constructed to make predictions, and performance measures are established to assess their effectiveness. The test results unequivocally showed that the new procedure is markedly superior to the prior one.
Natarajan, ManikandanPasupuleti, ThejasreeSagaya Raj, GnanaSilambarasan, RSomsole, Lakshmi Narayana
The objective of this research is to develop an optimization strategy for the Electrochemical Drilling process on Nimonic alloy material, taking into account various performance factors. The optimization strategy relies on the integration of the Taguchi method with Grey Relational Analysis (GRA). Nimonic is extensively utilized in aerospace, nuclear, and marine industries, specifically in situations that are prone to corrosion. The experimental trials are structured based on Taguchi's principle and encompass three machining variables: feed rate, electrolyte flow rate, and electrolyte concentration. This inquiry examines performance indicators like the rate of material removal, surface roughness, as well as geometric parameters such as overcut, shape, and orientation tolerance. Based on the investigation, it is determined that the feed rate is the primary factor that directly affects the intended performance criteria. In order to enhance the accuracy of predictions, multiple regression models are created and performance metrics are constructed. A validation test was performed to corroborate the findings acquired using the GRA approach. The test results demonstrate that the proposed strategy is markedly superior to earlier approaches.
Pasupuleti, ThejasreeNatarajan, ManikandanD, PalanisamySilambarasan, RKrishnamachary, PC
This study describes the Taguchi optimization process applied to optimize drilling parameters for glass fiber reinforced composite (GFRC) material. The machining process is analyzed in relation to process parameters using analysis of variance (ANOVA). The characteristics assessed for both the drilling and the specimen include speed, feed rate, drill size, and specimen thickness. The commercial software program MINITAB14 was used to collect and analyze the measured results. Cutting force and torque during drilling are examined in relation to these parameters using an orthogonal array and a signal-to-noise ratio. The primary goal is to identify the critical elements and combinations of elements that impact the machining process to achieve minimal cutting thrust and torque, based on the evaluation of the Taguchi technique.
Raja, RosariJannet, SabithaKandavalli, Sumanth Ratna
Related to traditional engineering materials, magnesium alloy-based composites have the potential for automobile applications and exhibit superior specific mechanical behavior. This study aims to synthesize the magnesium alloy (AZ61) composite configured with 0 wt%, 4 wt%, 8 wt%, and 12 wt% of silicon nitride micron particles, developed through a two-step stir-casting process under an argon environment. The synthesized cast AZ61 alloy matrix and its alloy embedded with 4 wt%, 8 wt%, and 12 wt% of Si3N4 are subjected to an abrasive water jet drilling/machining (AJWM) process under varied input sources such as the diameter of the drill (D), transverse speed rate (v), and composition of AZ61 composite sample. Influences of AJWM input sources on metal removal rate (MRR) and surface roughness (Ra) are calculated for identifying the optimum input source factors to attain the best output responses like maximum MRR and minimum Ra via analysis of variant (ANOVA) Taguchi route with L16 design approach. The ANOVA analysis revealed that D, v and the composition of AZ61 alloy composite contribute 26.45%, 16.28%, and 20.84%, respectively, to the output response conditions for higher MRR. Additionally, design 7 exhibits a high MRR of 0.017 g/s and a surface roughness (Ra) of 0.84 μm. The optimum AWJM input source of design 7 is proposed for industries to mass production applications.
Venkatesh, R.
In numerous industries such as aerospace and energy, components must perform under significant extreme environments. This imposes stringent requirements on the accuracy with which these components are manufactured and assembled. One such example is the positional tolerance of drilled holes for close clearance applications, as seen in the “EN3201:2008 Aerospace Series – Holes for metric fasteners” standard. In such applications, the drilled holes must be accurate to within ±0.1 mm. Traditionally, this required the use of Computerised Numerical Control (CNC) systems to achieve such tight tolerances. However, with the increasing popularity of robotic arms in machining applications, as well as their relatively lower cost compared to CNC systems, it becomes necessary to assess the ability of robotic arms to achieve such tolerances. This review paper discusses the sources of errors in robotic arm drilling and reviews the current techniques for improving its accuracy. The main sources of errors in robotic arm drilling are related to the robot arm positioning, the drilling processes, and the dimensional accuracy/quality of the workpiece being drilled. This paper focuses on two of these aspects: the robotic arm positioning and the drilling error. Hardware correction systems using vision, encoder and/or a combination of lasers are considered alongside software-based methods such as machine learning. This can implicitly improve the accuracy of robotic arms without any additional hardware. In addition, spatial interpolation techniques such as Kriging are also discussed in the context of gathering calibration data over a grid of points. From this paper, the reader will gain an understanding of the state-of-the-art, future trends and the potential work required to use robotic arms for drilling high-accuracy holes in aerospace applications.
Cho, Yun HangSawyer, DanielaBurkinshaw, ChristopherScraggs, Chris
This paper reports the development of an operation support system for production equipment using image processing with deep learning. Semi-automatic riveters are used to attach small parts to skin panels, and they involve manual positioning followed by automated drilling and fastening. The operator watches a monitor showing the processing area, and two types of failure may arise because of human error. First, the operator should locate the correct position on the skin panel by looking at markers painted thereon but may mistakenly cause the equipment to drill at an incorrect position. Second, the operator should prevent the equipment from fastening if they see chips around a hole after drilling but may overlook the chips; chips remaining around a drilled hole may cause the fastener to be inserted into the hole and fastened at an angle, which can result in the whole panel having to be scrapped. To prevent these operational errors that increase production costs by requiring repair work, we have developed an operation support system that processes the monitor images so that the operator can distinguish markers before drilling and detect chips before fastening. Initially, we developed rule-based image processing, but it could not achieve sufficient accuracy because of the complexity of defining rules related to images features. Therefore, we turned instead to image processing based on deep learning, and after efforts to achieve the required accuracy and processing speed, the developed system now outperforms the rule-based system and we have improved the production efficiency of this riveter. Deep learning technology can be used to improve the productivity of a wide range of production equipment, both existing and new.
Yamanouchi, ShihoAoki, NaofumiNagano, YoyaMoritake, DaichiSakata, TatsuhikoKato, Kunihito
The Electroimpact Automatic Fan Cowl Riveter exhibits new and unique design features and automated process capabilities that address and overcome three primary technical challenges. The first challenge is satisfying the customer-driven requirement to access the entire fastening area of the fan cowl doors. This necessitates a unique machine design which is capable of fitting ‘inside’ a fan cowl door radius. The second challenge is determining drill geometry and drill process parameters which can produce consistent and high-quality countersunk holes in varying mixed-metal stack-up combinations consisting of aluminum, titanium, and stainless steel. The third challenge is providing the capability of fully automatic wet installation of hollow-ended titanium rivets. This requires an IML-side countersinking operation, depositing sealant throughout the OML and IML countersinks and the hole, automatically feeding and inserting a rivet which is only 5mm long and 6mm in head diameter and flaring the rivet tail to a ‘sub-flush’ condition.
Merluzzi, JamesSchultz, RichErnsdorff, BryanPeterman, RandyLuker, ZacharyStansbury, ErinMurakonda, Sai Krishna
The quality of the finished product depends on the contribution of many factors along with the complex process involved to move forward towards the new product development. Many operations like turning, drilling, milling in metal machining deserves the quality as a predominant measurement. The tool and work piece plays a vital role in machining process which depends on machining parameters such as spindle speed, feed rate, depth of cut, approach angle. In the present work the turning operation was carried out on Nickel alloy (Nimonic 80) as a work piece and the carbide insert was used as a tool for performing the machining operations. The cutting parameters were optimized using Taguchi based grey relational analysis. Provided that, the ANOVA analysis to find the predominant factors that affects the quality were also determined. The experimental results were compared with the predicted results and found to be a promising agreement between the factors and responses.
Jashwanth, S.Rajaparthiban, J.Ganesamoorthy, R.Balaji, N.Padmavathi, K.R.
The requirement of the current scenario is to identify the sustainable material and process it into acceptable properties for current applications. The natural fiber is a prime sustainable material having the properties of biodegradability, plenty of availability, economical and adequate physical-mechanical property. Sesbania rostrata fiber is extracted from the stem of Sesbania rostrata plant which is cultivated along with Turmeric plants on 1000 acres annually as a nitrogen fixation plant. The fiber-reinforced composite is a tailor made material by altering the fiber and polymer weight proportion to achieve desired properties for applications. The natural fiber is a promising material to replace synthetic fiber to transform the composite into biodegradable. The making of holes in the biocomposite by the secondary process is essential for the assembly operation. The biocomposite was developed by reinforced Sesbania rostrata fiber in Polycaprolactone (PCL) biopolymer at the weight ratio of 20:80 and the mechanical properties and drilling parameters were investigated. The tensile, flexural and impact strength of the biocomposite was increased by 68%, 28% and 20.6% respectively compared with PCL biopolymer. The biocomposite was drilled by 4 mm at spindle speeds of 300, 750, and 1800 rpm with feed rates of 0.05, 0.12, and 0.25 mm/rev to evaluate the thrust force and delamination properties. The results showed that increasing spindle speed and feed rate resulted in higher thrust force and increased delamination in the composites. This study provides valuable insights into the mechanical properties and drilling behaviour of Sesbania rostrata fiber reinforced Polycaprolactone biodegradable composite and their potential use in various applications.
Raja, KA, KarthikSenthil Kumar, MSP S, Sampath
Considering the advancements in manufacturing industries, which are crucial for economic growth, there is a substantial demand for exploration and analysis of advanced materials, especially alloy materials, to enable efficient utilization of new technologies. Lightweight and high-strength materials, like aluminium alloys, are highly recommended for various applications that necessitate both strength and resistance to corrosion, such as automobile, marine and high-temperature applications. Therefore, there is a significant need to investigate and analyse these materials to facilitate their effective application in manufacturing sectors. This study investigates the machinability of drilling AA6061 using a micro-textured tool and proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) model for investigating the machinability of drilling AA6061 aluminium alloy with a micro-textured uncoated tool. The ANFIS model considers various input parameters such as spindle speed, feed rate, and Coolant type to predict the machinability performance of the drilling process. The results indicate that the ANFIS model is an effective tool for predicting the machinability performance of AA6061 during the drilling process. The model can help optimize the drilling process by identifying the best combination of input parameters that yield the desired machinability performance. This study demonstrates the potential of ANFIS models in the field of machining, particularly in the development of predictive models for optimizing machining processes.
Katta, Lakshmi NarasimhamuNatarajan, ManikandanPasupuleti, ThejasreeSiva Rami Reddy, NarapureddySivaiah, Potta
This SAE Aerospace Standard (AS) provides general information for the interpretation and clarification of engineering drawing requirements relating to the manufacture and inspection of fluid system couplings, tube fittings, and hose ends. Because it is impractical to define every minute detail of the part on the face of the drawing, this standard describes interpretations of dimensioning of general machining features and otherwise undefined tolerances that fall under the heading of “good shop practice.” This standard is supplemental to ASME Y14.5M-1994 and explains, defines, and interprets drawing terms or practices that are not addressed by ASME Y14.5M-1994. Unless otherwise specified in this standard, drawing interpretations contained in ASME Y14.5M-1994 shall apply.
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
Making manned and remotely-controlled wheeled and tracked vehicles easier to drive, especially off-road, is of great interest to the U.S. Army. If vehicles are easier to drive (especially closed hatch) or if they are driven autonomously, then drivers could perform additional tasks (e.g., operating weapons or communication systems), leading to reduced crew sizes. Further, poorly driven vehicles are more likely to get stuck, roll over, or encounter mines or improvised explosive devices, whereby the vehicle can no longer perform its mission and crew member safety is jeopardized. HMI technology and systems to support human drivers (e.g., autonomous driving systems, in-vehicle monitors or head-mounted displays, various control devices (including game controllers), navigation and route-planning systems) need to be evaluated, which traditionally occurs in mission-specific (and incomparable) evaluations. To support the use of comparable test conditions, a set of combat-relevant driving courses was developed for usability evaluations. This set of courses has been implemented in simulation (the Detroit Arsenal TBMS/CS simulator) and in the field (Camp Grayling). The 9 courses are: (1) on-road driving, (2) slalom (to avoid obstacles), (3) mogul (to assess rollover propensity), (4) ditches (which are difficult to see), (5) minefield (where the path is narrow), (6) berm drill (a defensive maneuver), (7) urban cover (scampering between buildings), (8) urban drive (narrow alleys), and (9) formation change (e.g., line to column). The courses used at Camp Grayling are documented here and representative driving data are provided to support use of these courses by others. Improvements are also suggested.
Green, Paul
Traditional solutions developed for the aerospace industry must overcome challenges posed for automation systems like design, requalification, large manual content, restricted access, and tight tolerances. At the same time, automated systems should avoid the use of dedicated equipment so they can be shared between jigs; moved between floor levels and access either side of the workpiece. This article describes the development of a robotic system for drilling and inspection for small aerostructure manufacturing specifically designed to tackle these requirements. The system comprises three work packages: connection within the digital thread (from concept through to operational metrics including Statistical Process Control), innovative lightweight / low energy drill, and auto tool-change with in-process metrology. The validation tests demonstrating Technology Readiness Level 6 are presented and results are shown and discussed.
Holden, RogerPortsmore, AndyCheetham, SimonChacin, MarcoSelby, Oliver
As the aerospace industry moves toward determinate assembly and ever-tighter manufacturing tolerances, there is a need for automated, high-precision milling, trimming and drilling equipment that is specialized for aerospace applications. Precision countersinking is a common requirement for aircraft parts, but this is not a process that typical general-purpose milling machines are able to accommodate without the use of specialty tools such as depth-stop tool holders. To meet this need, Electroimpact has designed a 5-axis milling machine with high-speed clamping capability for countersink depth control. A custom trunnion and head with a quill and an additional clamp axis provide clamping functionality similar in speed and precision to a riveting machine, while maintaining the accuracy and features of a conventional machining center. An additional focus on design for pre-compensation accuracy has allowed the system to achieve post-compensation path and positioning tolerances that are competitive with premium milling machines. This combination of capabilities makes the system well suited for a variety of cutting and drilling processes for aircraft manufacture. This paper will describe the background and design process that led to the development of this system, and will provide details on its capabilities, specifications, and possible applications.
Bigoney, BurtSmith, ScottBruns, Michael
Automatic robotic drilling is a widely used way of fastening in the field of aircraft assembly and is worth studying continuously. Drilling accuracy is one of the most remarkable properties of the system, which is directly related to the absolute positioning accuracy of the robot end effector. Due to the kinematic errors and gravity of the robotic system itself, the nominal pose and the actual pose of the end effector are no longer consistent with each other. It is necessary to keep the high positioning accuracy of the system. In this paper, an automatic robotic drilling system with high positioning accuracy is proposed. Generally, there are two methods to improve positioning accuracy: off-line calibration and on-line adjustment. An off-line calibration based on the DH method is proposed to identify and modify the parameter errors of the robot. A 6- degree of freedom industrial robot is integrated into the drilling system. After the kinematic error modeling of the robot is established, the sample points in the reachable workspace of the robot are measured, the kinematic errors are identified and compensated, and the calibration process is achieved. Then an on-line pose measurement and adjustment of the end effector based on a laser tracker are developed. Transforming relations between coordinate systems of all parts of the drilling system are firstly obtained accurately. With the robotic drilling end-effector as the working module and the laser tracker as the measuring module, A closed-loop control system for positioning accuracy is established. By measuring the actual pose of the end-effector and comparing it with the nominal pose, the pose of the end-effector is adjusted in real-time. The experiment results indicate that after pose measurement and adjustment the positioning accuracy of the end effector meets the accuracy requirements.
Tang, YueZheng, JinhuiZhang, Mao
Efforts toward the mechanization of aircraft manufacturing began as a divided focus between devices like power tools that augment human worker capability and purpose-designed, “monument” automation. While both have benefits and limitations, the capability of modern industrial robots has grown to the point of being able to effectively fill the capability gap between them, offering a third option in the mechanization toolbox. Moreover, increasing computer processing power continues to enable more advanced approaches to perception to inform task planning and execution. Higher performance robots supplemented with greater ability to adapt to various conditions and scenarios have also led to the ability to operate reliably and safely outside traditional fixed-installation, caged work cells. This in turn has made it feasible for robot systems to work in ever more complex environments and applications, including the world of aircraft assembly with its numerous challenges like workpiece scale, precision issues due to compounding tolerance stack-ups, and confined and often crowded spaces – including the potential for interaction with human workers. Mobile industrial robot systems are becoming more common throughout the aerospace industry and the most popular use case is still drilling and fastening. Spirit AeroSystems has been at the forefront of this trend since the early 2000’s in terms of system architecture and configuration, technology testing and maturation, and deployment into production use cases. In conjunction with a number of supplier partners, Spirit has nearly 20 years’ worth of history and lessons learned regarding drilling and fastening processes performed by mobile industrial robotic systems including several new systems across multiple programs and aerostructure configurations.
Richardson, Curtis A.Davis, Chris R.
Using the Box Behnken experimental design, this research work gives a thorough mathematical model for predicting the effects of drilling parameters on the delamination factor during the drilling of CFRP/Al stacked composites. These composites are commonly utilized in aerospace applications and are frequently subjected to drilling for assembling purpose. The goal of this study is to predict the drilling parameters like drill type, drill diameter, feed rate and spindle speedthat affect the amount of delamination which occurs when drilling such composites. During the drilling operation, damage was noticed on the surface of the fabricated composite laminates. The experiments were conducted according to the Box Behnken experimental design and delamination response is measured by using an image processing software. It is concluded that among all the parameters, the feed rate influences more on the delamination factor.
KALA, K.LAKSHMIRao, K. Prahlada
In significant industrial segments across the globe, there continues to be major investment in large-scale equipment that incorporates heavy-duty material movement and handling systems. In mining applications such as bucket wheel excavators and conveyors, to metal shredders in recycling operations, as well as winch systems and drilling equipment in offshore applications, powerful low-speed drives that can deliver high torque and reliably function in rugged demanding environments are in high demand.
Aiming at the problems of insufficient perception and adaptability of vehicle-mounted drilling rig control system to complex formation and unsatisfactory drilling efficiency, an adaptive drilling weight on bit (WOB) control system of the vehicle-mounted drilling rig is designed in this article. Based on the real-time monitoring of drilling parameters obtained by various sensors, the lithology of drilling formation is identified by particle swarm optimization-support vector machine (PSO-SVM), the corresponding high-efficiency WOB is matched according to the differences in rock properties of different formations, and the valve port size of electrohydraulic proportional overflow valve is controlled by fuzzy proportional-integral-derivative (PID) to adjust the feed force of the feed cylinder so that the WOB of the drilling rig can change adaptively with the formation, and the rock-breaking efficiency of the drilling rig can be improved. Through the joint simulation and comparative analysis of Simulink and AMESim, the designed fuzzy PID controller has a small overshoot and high control precision. The experimental results of preset rock samples show that the WOB adaptive control system can effectively adjust the WOB to adapt to the changes of formation lithology, effectively improving the drilling speed and drilling efficiency.
Zhang, Chuan WeiLi, ChengWang, JianlongLu, Qiang
When the drill arm reaches the specified position, the rubber top disk of the propelling beam is pressed against the rock surface by the hydraulic cylinder force and the rock drill starts drilling. Because of the reaction force and the deformation of the drill arm, the propelling beam will be offset from its target position and vibrate, which will affect the drilling accuracy. To analyze the vibration of the propelling beam, the rigid-flexible coupled model is established. The minimum displacement offset of the propelling beam from the initial position is used as the optimization function and the parameters of the rubber top disk are used as optimization variables. The amplitude of the propelling beam at a steady state is used as the constraint. From the simulation results, the rigid-flexible coupled model can describe the vibration of the propelling beam better than the rigid model, especially during the rock drill working stage. After optimization, the offset value of the propelling beam is reduced, and the vibration amplitude at a steady state is also in a small range.
Yue, KaiLiu, FeixiangLiao, JinjunWang, YongshengWu, JinglaiZhang, Yunqing
Tool Wear Classification in Automated Drilling Operations of Aircraft Structure Components using Artificial Intelligence Methods (SAE Paper 2022-01-0040)132073/10/2022
Structural components in fuselage barrels are joined with the help of riveting processes. Concerning the key feature of rivet drill hole size and drilling quality, a poorly executed drilling operation can lead to serious riveting defects such as rivet play or fracture due to non-uniform load distribution. Consequently, the drilling process of a rivet hole and its correct execution is of vast importance for the airworthiness of an aircraft. The condition of the drill used, i.e., the current tool wear, has a direct effect on the quality of the hole. Since conventional approaches, such as changing the tool after a predefined number of process cycles, do not reflect real tool wear, premature wear may occur, resulting in defects. Thus, the online-detection of tool wear for necessitated replacement may indicate a promising future direction in quality control. Since the aircraft industry has a particularly high requirement for defect-free production of structural components, this paper presents a study on the online-detection of tool wear in automated drilling processes using a combination of external sensor technology and Artificial Intelligence methods. For this reason, a laboratory setup to conduct automatic drilling operations in fuselage material is introduced. Two sensor types are utilized to capture the process data that is evaluated by machine learning algorithms. The performance of different machine learning algorithms is measured, and recommendations for action in sensor solutions, and the respective choice of algorithms for this task, are derived. Finally, the results of the study are discussed, and recourse for future work is elaborated upon.
Koch, Julian
Structural components in fuselage barrels are joined with the help of riveting processes. Concerning the key feature of rivet drill hole size and drilling quality, a poorly executed drilling operation can lead to serious riveting defects such as rivet play or fracture due to non-uniform load distribution. Consequently, the drilling process of a rivet hole and its correct execution is of vast importance for the airworthiness of an aircraft. The condition of the drill used, i.e., the current tool wear, has a direct effect on the quality of the hole. Since conventional approaches, such as changing the tool after a predefined number of process cycles, do not reflect real tool wear, premature wear may occur, resulting in defects. Thus, the online-detection of tool wear for necessitated replacement may indicate a promising future direction in quality control. Since the aircraft industry has a particularly high requirement for defect-free production of structural components, this paper presents a study on the online-detection of tool wear in automated drilling processes using a combination of external sensor technology and Artificial Intelligence methods. For this reason, a laboratory setup to conduct automatic drilling operations in fuselage material is introduced. Two sensor types are utilized to capture the process data that is evaluated by machine learning algorithms. The performance of different machine learning algorithms is measured, and recommendations for action in sensor solutions, and the respective choice of algorithms for this task, are derived. Finally, the results of the study are discussed, and recourse for future work is elaborated upon.
Koch, JulianSchoepflin, DanielVenkatanarasimhan, ArvindSchüppstuhl, Thorsten
An Investigation on Drilling of Epoxy Composites by Taguchi Method05-14-03-00204/21/2021
Effects of process parameters such as rotational speed, feed rate, and drill diameters on the drilling behavior of basalt-epoxy-based composites including 2.5 wt.% Al2O3 particles manufactured by mixing and compression method were investigated by Taguchi’s technique. The experimental results showed that the burr height (BH) increased considerably almost linearly with an increase in the drill diameter, while it remained stable with speed and decreased the feed rate slightly. There was an excellent correlation between the control factors and responses, BH of basalt fiber-reinforced plastics (BFRPs) through the Taguchi approach. The model had an adjusted R2 value of 96.3%. Generally, the inclusion of Al2O3 particles in BFRP increased its cutting force properties. Optimized drilling conditions for the input variables to produce the lowest response of the BH for composites were rotational speed of 560 rpm and feed rate of 0.28 mm/rev and a drill diameter of 4.5 mm. Furthermore, the analysis of variance (ANOVA) indicated that the drill diameter was the most significant control factor affecting the BH. Its percentage contributions (Pc) of rotational speed, feed rate, and drill diameter on the BH were about 0.38%, 1.15%, and 98%, respectively. Furthermore, macrographs of drilled composite surfaces exhibited that fiber fracture and pullout increased with increasing drill diameter, leading to the BH and depth of the deformation zone.
Sahin, YusufŞahin, Hakan
Application of Selective Assembly as an Aerospace Design for Manufacturing and Assembly Principle for Effective Variation Management in Aerospace Assemblies (SAE Paper 2021-01-0005)129453/16/2021
Aerospace engine parts are complex precision-engineered products with tighter assembly tolerances produced by conventional and non-conventional manufacturing processes. Variations in these manufacturing processes have to be controlled, process risks mitigated, and managed effectively, to facilitate the ease of aero-engine assembly to reduce overall variation and improve the assembly quality. One such technique is the application of the Selective Assembly as a Design for Manufacturing and Assembly (DfMA) tool. The paper details the methodology of Selective Assembly, its applications, benefits, and limitations in the aerospace industry along with a framework case study with a focus on ease of assembly and meeting the design intent of the assembly fit with the detailed study on the current traditional assembly process. The focus is to analyze the current challenges faced on the application of the Selective assembly of Aero-engine components through a case study on the development and application of an Assembly Installation Operation Selective (AIOS) assembly tool, that be applied both as a built-in tool for Selective Assembly data acquisition and optimal selection. The study also investigates whether the concept of decimal roundoff in the measurement reporting process has any significant impact on the selective process capability and the pin-hole assembly fit quality. The objectives are to optimize and enhance the current assembly process to meet the customer design intent and First Time Right (FTR) quality of the assembly fit and to promote the application of the Selective Assembly concept as a potential quality and cost optimization technique in assembly processes highly subjected to variations by emphasizing its application as an Aerospace Design for Manufacturing and Assembly (ADFMA) guideline for effectively controlling and mitigating assembly variations of shafts and holes in aerospace engine parts and reducing reworks and rejections in the aerospace industry due to high process variability and need for better process control in fabrication tolerances.
Rathinam, Mani
Development of a Non-Parametric Robot Calibration Method to Improve Drilling Accuracy (SAE Paper 2021-01-0003)129463/16/2021
The drilling of large quantities of repetitive holes during the manufacture of large aerospace components is often considered a key limiting factor with regards to production efficiency. Whilst the desire within aerospace is to use relatively cheap six axis robot arms with drilling end effector units, their poor accuracy remains an obstacle. Robot calibration presents a way of improving robot accuracy such that aerospace drilling tolerances can be met, without permanently committing metrology equipment to an automation cell during production. Extensive research has been conducted into robot calibration by correcting the kinematic model, known as parametric calibration. This method is highly complex, and calibrates the robot across the entire working volume. This is often not required in industrial drilling applications, as drilling routines are often contained within a smaller volume of the robot reach. In this paper, a non-parametric method of robot calibration is proposed. This method involves calibrating within regions of the working volume where the robot pose is similar, and thus the effects of geometric errors in the kinematic model are roughly constant. By establishing the average positional error for each region, the accuracy can be locally improved by compensation through definition of the tool centre point. The proposed method can be completed without the use of kinematic models or complex mathematics, making it more suitable to industrial users. From experimental trials, a significant improvement in the positional accuracy of holes drilled using a standard six axis robot is reported, from 2 mm to 0.1 mm, well within the requirements of the majority of aerospace applications.
Scraggs, Chris
The drilling of large quantities of repetitive holes during the manufacture of large aerospace components is often considered a key limiting factor with regards to production efficiency. Whilst the desire within aerospace is to use relatively cheap six axis robot arms with drilling end effector units, their poor accuracy remains an obstacle. Robot calibration presents a way of improving robot accuracy such that aerospace drilling tolerances can be met, without permanently committing metrology equipment to an automation cell during production. Extensive research has been conducted into robot calibration by correcting the kinematic model, known as parametric calibration. This method is highly complex, and calibrates the robot across the entire working volume. This is often not required in industrial drilling applications, as drilling routines are often contained within a smaller volume of the robot reach. In this paper, a non-parametric method of robot calibration is proposed. This method involves calibrating within regions of the working volume where the robot pose is similar, and thus the effects of geometric errors in the kinematic model are roughly constant. By establishing the average positional error for each region, the accuracy can be locally improved by compensation through definition of the tool centre point. The proposed method can be completed without the use of kinematic models or complex mathematics, making it more suitable to industrial users. From experimental trials, a significant improvement in the positional accuracy of holes drilled using a standard six axis robot is reported, from 2 mm to 0.1 mm, well within the requirements of the majority of aerospace applications.
Scraggs, ChrisSmith, ThomasSawyer, DanielaDavis, Matthew
A new numerical approach is proposed for studying possible vibrations caused by drilling during the assembly of aircraft structures. It is based on modelling of the stress-strain state of assembled structures by solving the corresponding transient contact problem. This approach is intended for fast dynamic analysis of the structure in the drilling area. It includes a time discretization algorithm, a special reduction technique and a reformulation of contact problem in terms of quadratic programming. The high speed of the algorithm allows one to combine the non-stationary calculations with variation analysis in order to check the possible deviations in the shape of assembled parts. The proposed approach is validated by commercial software and it is also applied for analysis of a test problem.
Vasiliev, AlexeyMinevich, OlgaLapina, EvgeniiaShinder, JuliaLupuleac, SergeyBarboule, Joel
The usage of AZ91E series magnesium alloy material increases in the field of automobile, aerospace and structural applications because of its enhanced mechanical properties, light weight and good machinability characteristics. The present investigation is to optimize the drilling process parameters of magnesium alloy (AZ91E) hybrid nano composite consisting of chopped basalt fiber (9wt%) and SiCp (7.5wt%) fabricated by vacuum stirring technique. AZ91E hybrid nano composite is drilled by M-Tab vertical machining centre equipped with CNC under dry state (without coolant). The dry state drilling operation was performed by HSS tool with varied input parameters like drill diameter (6mm, 8mm, 10mm and 12mm), spindle speed (200rpm, 300rpm 400rpm 500rpm), feed rate (5mm/min, 10mm/min, 15 mm/min, 20 mm/min) with constant depth of cut (15mm). The effect of machining time, metal removal rate and surface roughness is evaluated and optimum level of drilling parameters is determined through Taguchi technique. The stress concentration and temperature distribution path of AZ91E hybrid nano composite is detected during the drilling process by analysis of system software.
T, ThirugnanasambandhamJ, ChandradassP, Baskara SethupathiJesu Martin, Leenus
According to the increasing demands for light-weight design in the automotive industry, the use of thinner and lighter materials such as aluminum alloys for automotive parts has led to significant weight reduction. The joining of these materials has required development of new technologies in joining/fastening rather than welding. Flow drill screwing is one of the latest technologies created to fasten sheet metal panels. This paper discusses results of an evaluation of fatigue characteristics of flow drill screw (FDS) joints based on experimental data and observations from the literature. It was observed that the important fatigue-related geometric parameters of FDS joints were the gap between sheets and the extruded (or bulged) zone during screwing. Major failure modes were observed such as sheet failures where cracks grow from the inner surface of the sheet and around the extruded zone. In this paper, the fatigue evaluation procedure for FDS joints using the mesh-insensitive equilibrium-based structural stress (ESS) method was used. The ESS-based simplified modeling procedure was used for the fatigue-evaluation procedure for FDS joints. The effectiveness and applicability of the ESS-based simplified procedures for modeling and simulating resistance spot welds and self-piercing rivet (SPR) joints have been proven by previous investigations. After accounting for geometric and fatigue characteristics of FDS joints, an ESS-based simplified procedure and a master S-N curve approach-based procedure were established. It was observed that the fatigue data in the interim design S-N curve became consolidated with a small scatter band regardless of sheet thickness and sheet preparation (with and without a clearance hole). Additionally, the design S-N curve for FDS joints is a little bit lower than that for SPR joints from the interim design S-N curve comparison. From the residual stress observation for FDS joints and SPR joints, it can be inferred that the compressive residual stress distribution around the SPR helps to improve fatigue life compared with FDS joints.
Hong, JeongWilkowski, Gery
Electroimpact has produced a new in-process inspection system for use on drilling and fastening systems. The system uses a high-accuracy, non-contact, laser system to measure the flushness of installed fasteners. The system is also capable of measuring part normality and providing feedback to the machine for correction. One drawback to many automatic inspection systems is measurement error. Many sources of measurement error exist in a production environment, including drilling chips, lubrication, and fastener head markings. Electroimpact’s latest system can create a visualization of the measured fastener for the operator to interpret. This allows the operator to determine the cause of a failed measurement, thus reducing machine downtime due to false negatives. Electroimpact created a custom C# WPF application that queries the point-cloud data and analyzes the raw data. A custom “circle Hough transform” scoring algorithm is used to find the center of the nosepiece (pressure foot). A best fit plane is calculated from the point cloud data to find the panel surface. This plane is then used to output panel normality in the A and B axes. Flushness is determined by computing the distance of each point in the fastener point-cloud to the best fit plane previously calculated. Finally, the point cloud is made into a surface and displayed on the screen using HelixToolkit open source 3D libraries. This allows the user to rotate, zoom, and center the 3D image on the PC.
Luker, ZacharyStansbury, Erin
PCD properties were optimized to drill stacks of CFRP/Ti using an accelerated wear test milling gray cast iron. The optimized PCD was then used to prepare PCD drills. Tests were made to determine the best drilling conditions for the optimized PCD. The results yielded a significant improvement in cycle times as compared to earlier studies using PCD drills. Notched PCD cutting edges were found to eliminate oversizing of the CFRP near the interface of the two materials.
Bunting, JeremyBunting, John
Design and production of an assembly system for a major aircraft component is a complex undertaking, which demands a large-scale system view. Electroimpact has completed a turnkey assembly line for producing the wing, flap, and aileron structures for the COMAC C919 aircraft in Xi’an, China. The project scope includes assembly process design, material handling design, equipment design, manufacture, installation, and first article production support. Inputs to the assembly line are individual component parts and small subassemblies. The assembly line output is a structurally completed set of wing box, flaps, and ailerons, for delivery to the Final Assembly Line in Shanghai. There is a trend toward defining an assembly line procurement contract by production capacity, versus a list of components, which implies that an equipment supplier must become an owner of production processes. The most significant challenge faced was the amount of front end engineering work required to develop detailed assembly processes and reconcile them with the customer, who remains the actual process owner. Other challenges include aircraft maturity delays, design changes due to process definition evolution, factory environmental conditions such as dust and varying temperature gradients, and cultural and communication challenges both internal and external. The result achieved by Electroimpact is an assembly line system composed of an integration of assembly tooling, special process equipment, NC machine equipment, inspection equipment, material handling and logistics equipment: Two robotic drilling cells integrated with both stationary and mobile tooling. Integrated wing major assembly cell with manual assembly jigs and large CNC wing drilling machines. Twenty-three other manual work stations. New technology developments implemented include: A new high-curvature nosepiece on the robot end effecter to enable accurate drilling and countersinking on the LE Spar D-Nose section. A new application and delivery system for single-sided temporary fasteners for wing panel drilling. Tooling design to accommodate large temperature variations.
Forbes, Mark
The Inconel 718 is an alloy based on nickel of high thermal and mechanical resistance, which allows its wide application in the aerospace industry, being generally implemented in aircraft tail cone and engine components. On the other hand, these features become a recurring problem when the machining of this material is performed. For example, in the drilling process of this superalloy, the cutting tools used exhibit excessive wear due to the high temperature and pressure at the cutting edge. However, there are numerous parameters that can influence the cutting tool life, and when analyzed and well defined, determine the types of modifications needed to enable less wear, and consequently an increase of its useful life in service. Given this context and knowing that the study of tool life in the Inconel 718 drilling process is extremely relevant in the aerospace sector, this paper presents a wear study in order to evaluate the behavior of different types of cutting tools used to drill the Inconel 718. It was accomplished by the combination of different cutting parameters to perform the mechanical drilling tests on Inconel 718 sheets, using the Taguchi method as a quality tool for process investigation, and consequently the wear analysis of the cutting tools.
Barros, Pedro CabegiBarbosa, Gustavo FrancoVentura, Carlos Eiji HirataSantos, Gustavo Roberto
This SAE Standard covers complete general and dimensional specifications for refrigeration tube fittings of the flare type specified in Figures 1 to 42 and Tables 1 to 15. These fittings are intended for general use with flared annealed copper tubing in refrigeration applications. Dimensions of single and double 45 degree flares on tubing to be used in conjunction with these fittings are given in Figure 2 and Table 1 of SAE J533. The following general specifications supplement the dimensional data contained in Tables 1 to 15 with respect to all unspecified details.
Air Brake Tubing and Tube Ftg Committee
A Study on Mechanical Properties and Multi Response Optimization of Process Parameters for Showing Signs of Improvement Product Quality in Drilling AlSi 7 Cu 4 Utilizing GRA in Taguchi Method2019-28-005810/11/2019
Showing and streamlining of cutting parameters are a champion among the most essential components in drilling processes. This examination displays the change of drilling procedures parameters on AlSi7Cu4 made by Gravity Die Casting and with replies in light of OA with Taughi GRA and ANOVA. The effects of alloying parts were bear on the Chemical Composition, microstructures, mechanical property, Hardness, X-Ray and S Das response is particularly analyzed. Motivations on the progression of Drilling parameters using the Taguchi strategy to obtain slightest surface Roughness (Ra), Circularity Error, Burr size and Thrust Force. Different Drilling Trails were coordinated using the L9 OA on CNC Milling machine. The examinations were accomplished on AlSi7Cu4 composite piece cutting tool of an ISO 460.1-1140-034A0-XM GC3 of 12 mm measurement with Tool 140 degrees, used all through the preliminary work under dry cutting conditions. The central and participation effect of the data factors on the foreseen responses are analyzed. The foreseen regards and estimated regards are really close. The given system could be utilized to pick the level of infiltrating constraints. A recognizable saving in machining time and thing cost can be gotten by using this model.
Sivam Sundarlingam Paramasivam, Sundar SinghLoganathan, Ganesh BabuSaravanan, KrishnaswamyKumaran, DuraiRajendran, Raj
Multi Characteristics Optimization of Treated Drill Tool in Drilling Operation Key Process Parameter Using TOPSIS and ANOVA Technique2019-28-005510/11/2019
To survive in the present global competitive world, the manufacturing sectors have been making use of various tools to achieve the high quality products at a comparatively cheaper price. Appropriate cutting set up must be used to further better the machinability of a work piece material. A longer life of the tools and equipment’s are important factors in any industry. Since the inception of the machine tool industry, cutting tool life and tool wear remain a subject of deep interest to study its failure and improvement. The present study finds out the optimum cutting results in drilling of AM60 magnesium alloy using different cryogenically treated cutting inserts. The Utility concept coupled with Taguchi with Multi response approach (TOPSIS) was employed. According to Analysis of variance (ANOVA) results, the feed was the major dominating factor followed by the cutting speed. This work deals with optimization approaches for the determination of the optimum process parameters by cryogenically treated drill HSS tools which minimizes surface roughness, torque, tool life, entry burr and tool cost, and maximizes material removal rate in a drilling operation of high-speed steel. Spindle speed, feed, and three different combinations of treated drill bits are taken as the input process parameters for this study. The experimental results obtained from design of experiment are optimized using TOPSIS and ANOVA technique to determine the optimized values.
Sivam Sundarlingam Paramasivam, Sundar SinghBanerjee, AishikKulkarni, Avanti
This SAE Recommended Practice provides a systematic method for the identification of multiple diameter cutting tools. It is intended to assist in the cataloging and supplying of these tools. NOTE 1— Caution must be taken when assigning codes for designators to prevent specifying cutting tools that cannot be physically or economically manufactured. NOTE 2— In particular without limitation, SAE disclaims all responsibility for the accuracy or completeness of information contained within this report if the standards of this report are retrieved, combined, or used in connection with any software.
Motor Vehicle Council
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